{"id":"W3108817401","doi":"10.1080/19186444.2020.1851124","title":"ICT adoption, innovation and financial development in a digital world: empirical analysis from Africa","year":2020,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Economic Growth and Development","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alexander von Humboldt-Stiftung","keywords":"Information and Communications Technology; Multinational corporation; Variance decomposition of forecast errors; Business; Vector autoregression; Shock (circulatory); Digital economy; Scale (ratio); Economics; Industrial organization; Finance; Political science; Econometrics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317433,0.0002577424,0.0003474619,0.003765537,0.0004900885,0.001714271,0.0001608498,0.0003141042,0.001082044],"category_scores_gemma":[0.006627659,0.0001382078,0.0003330348,0.01103783,0.0005529038,0.001514719,0.0006663387,0.0004578204,0.00008962385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009494084,"about_ca_system_score_gemma":0.001930371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771348,"about_ca_topic_score_gemma":0.0329817,"domain_scores_codex":[0.9994873,0.0001952036,0.00005263467,0.00004232531,0.00009082114,0.0001317183],"domain_scores_gemma":[0.992987,0.004459571,0.001402494,0.00008584394,0.0007885837,0.0002765656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003253627,0.0002562097,0.7921999,0.003586676,0.0004778332,0.001676366,0.01021732,0.001018639,0.0007466432,0.0109754,0.004078287,0.1744415],"study_design_scores_gemma":[0.00001576418,0.0001379152,0.9549109,0.001928698,0.000692985,0.0006648856,0.01532405,0.0004626077,0.0003289238,0.0006423538,0.02487368,0.00001722113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383837,0.05489083,0.0001952016,0.0009813826,0.00001765516,0.00001817007,0.0003830274,0.000001925572,0.005128091],"genre_scores_gemma":[0.9440364,0.05493696,0.0001791095,0.00009599933,0.00002174427,0.00001597302,0.0002159746,0.000002293705,0.0004955785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771348,"threshold_uncertainty_score":0.03522074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05906205785358641,"score_gpt":0.2616853052703815,"score_spread":0.2026232474167951,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}